Collection
Green Communication and Computing for IoT
Internet of Things (IoT) connected world is enlarging rapidly due to the growing communication capability in computing centric devices or things around us in daily life. The connected world technology is enabling smart automation and resource provisioning around us. The growing connected world via communication and computing enabled smart things is also diversifying the network heterogeneousness around us. It is also taking us towards the smaller and smarter devices enabled via wide range of network technologies. The tiny sensor based smaller devices have limited energy due to their size oriented constrained battery power. The growing demand of smarter devices considerably increases the volume of computation which worsen the energy limitation problem of smaller devices. it is noteworthy that the frequent battery charging in IoT centric smaller devices reduces user friendliness. Frequent charging of smaller devices poses serious safety concerns considering battery manufacturers advice regarding not operating of devices during battery charging.
Towards green communication technology, energy-centric communication and computing advancements in heterogeneous IoT environments is one of the key research themes for today’s networking scenario. However, the topic has not given enough attention focusing on heterogeneous IoT environments. There are number of questions in heterogeneous IoT environments that need to be answered for enabling green communication for smart services. This special issue aims to address some of these raised issues on green communication centric technology for heterogeneous IoT environments. It provides publication opportunity for researchers and practitioners towards showcasing their latest and innovative contributions with theoretical modelling and practical validations in green communication technology. The prototype implementation based green communication use cases for heterogeneous IoT networks are particularly welcomed.
Keyword: • Multi variate energy optimization frameworks for heterogeneous IoT environments •Cooperative scheduling of communication for heterogeneous IoT environments •Light-weight communication architectures for heterogeneous IoT environments •Interference aware communication frameworks for heterogeneous IoT environments •Edge computing oriented green architectures for heterogeneous IoT environments •Quantity of energy-oriented modeling for heterogeneous IoT environments •Optimizing distributed communication models for heterogeneous IoT environments •Cloud oriented decentralized computing architectures for heterogeneous IoT environments •Optimizing transmission energy focusing on new developments in sensor technology •Energy oriented propagation models for next generation heterogeneous IoT environment •Communication optimization in underwater sensor enabled heterogeneous IoT environments •Access control-based energy models for body area network centric IoT environments •Energy saving in next generation vehicular network centric IoT environments
Editors
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Omprakash Kaiwartya
Dr. Omprakash Kaiwartya, Nottingham Trent University, UK Omprakash Kaiwartya is currently working at the Department of Computer Science, Nottingham Trent University, UK as a Senior Lecturer and Course Leader for MSc Engineering (Electronics). Previously, he was a Research Associate (equivalent to Senior Lecturer) in the Department of Computer and Information Science at Northumbria University, Newcastle, UK, where, he was working on a European Union project. Dr. Omprakash’s research interest focuses on Cyber Security in Connected Systems for diverse domain areas including Transport, Healthcare, and Industrial Production.
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Yue Cao
Prof. Yue Cao, Wuhan University, China Yue Cao is currently the Professor at School of Cyber Science and Engineering, Wuhan University, China.Beyond his BSc education in China, he obtained my MSc and PhD both from 5G Innovation Centre (5GIC), University of Surrey, UK; His research interests include Transport & Energy (E-Mobility, Autonomous Valet Parking, UAV), Networking & Computation (V2X, Cloud/Edge Computing, Crowdsensing) and Cyber Security & Localization (Trust Management, Intrusion Detection, Authentication, Navigation).
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Sushil Kumar
Prof. Sushil Kumar, Jawaharlal Nehru University, India Sushil Kumar is currently Associate Professor at School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India. He received his Ph. D. degree in Computer Science from School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India in 2014. His research interest includes the area of vehicular cyber physical systems, Internet of things, EV charging, cybersecurity, Machine and Deep Learning, Blockchain and wireless ad hoc & sensor networks. Dr. Kumar served as session chair in many international conferences and workshops.
